International Journal of Technology and Applied Science

E-ISSN: 2230-9004   •   Impact Factor: 9.914

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 11 (November 2026) Submit your research before the last 3 days of this month to publish your research paper in the current issue.

Explainable Multimodal Deepfake and Media Forensics

Author(s) Mr. Yashas Rao Jadhav, Ms. Vedashree M R, Mr. Taniesh S Kumar, Ms. Harshita Laxman Moger
Country India
Abstract This paper presents an explainable multimodal deepfake and media forensics platform for analyzing image, video, and audio content. The system combines deepfake detection with forensic techniques such as ELA, frequency analysis, metadata extraction, hashing, and explainable visualizations. An asynchronous backend processes uploaded media and generates structured forensic reports containing detection results and supporting evidence.
Keywords deepfake detection, digital media forensics, explainable artificial intelligence, multimodal analysis, media authentication
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 17, Issue 11, November 2026
Published On 2026-11-10

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